EBK 3N3-EBK: FINANCIAL ANALYSIS WITH MI
8th Edition
ISBN: 9780176914943
Author: Mayes
Publisher: VST
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Read the box “The ‘Beta’ of a Stock” in the attachment.a. Suppose that the value of β is greater than 1 for a particular stock.Show that the variance of (R - Rf) for this stock is greater than thevariance of (Rm - Rt).b. Suppose that the value of β is less than 1 for a particular stock. Is itpossible that variance of (R - Rf) for this stock is greater than thevariance of (Rm - Rt)? (Hint: Don’t forget the regression error.) c. In a given year, the rate of return on 3-month Treasury bills is 2.0%and the rate of return on a large diversified portfolio of stocks (theS&P 500) is 5.3%. For each company listed in the table in the box,use the estimated value of β to estimate the stock’s expected rate ofreturn.
An ideal value-relevant attribute is one for which the correlation coefficient of the values of the attribute and the stock prices is
Group of answer choices
a. +2.0
b. zero
c. +1.0
d. -1.0
a) Discuss the difference between a price-weighted index and a value-weighted index.
Give one example for the price-weighted index and one example for the value-weighted
index and discuss any problems/advantages associated with the specific indices.
b) We assume that investors use mean-variance utility: U = E(r) – 0.5 × Ao², where
E(r) is the expected return, A is the risk aversion coefficient and o? is the variance
of returns. Given that the optimal proportion of the risky asset in the complete port-
folio is given by the equation y* = E , where r; is the risk-free rate, E(rp) is
the expected returm of the risky portfolio, o, is variance of returns, and A is the risk
aversion coefficient. For each of the variables on the right side of the equation, discuss
the impact of the variable's effect on y* and why the nature of the relationship makes
sense intuitively. Assume the investor is risk averse.
Ao
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Similar questions
- Briefly explain what the Beta of a stock means. What values can it take and what do these imply? Explain how the beta of a stock is different from the variance as a measure of risk.arrow_forwardthe variance of stock A is .004, the variance of the market .007 and the covariance between the two is .0026. what is the correlation coefficient?arrow_forwardWhat is the GBM and how should this be understoodarrow_forward
- Consider the following regression Pt * - Pt = .07(1.4) + .4*Pt (3.6) + et where Pt * is Shiller’s ex post price of a stock, Pt is the actual price and t-ratios are in brackets. Explain in words and analytically what the dependent variable Pt * - Pt should be equal to under the efficient markets theory. Hence interpret the regression. Does it support the efficient markets theory?arrow_forwardIf a stock's variance of return is written as σ2, then its standard deviation will be written as:arrow_forwardWhen working with the CAPM, which of the following factors can be determined with the most precision? a. The beta coefficient of "the market," which is the same as the beta of an average stock. b. The beta coefficient, bi, of a relatively safe stock. c. The market risk premium (RPM). d. The most appropriate risk-free rate, rRF. e. The expected rate of return on the market, rM.arrow_forward
- Suppose you have mean-variance utility function with a coefficient of risk Aversion-0, which stocks are preferred to P. E(r) III IP II IV Standard Deviationarrow_forwardUsing the data in the following table,, estimate the: a. Average return and volatility for each stock. b. Covariance between the stocks. c. Correlation between these two stocks.arrow_forwardThe slope of a regression line when the return on an individual stock's returns are regressed on the return on the market portfolio, would be: OAR BR-₁ B OC none of the answers listed here. ODO imarrow_forward
- The market and Stock J have the following probability distributions: a. Calculate the expected rates of return for the market and Stock J. b. Calculate the standard deviations for the market and Stock J.arrow_forwardWhen we test CAPM using historical data, a classic test is to regress excess returns of stocks onto the stock betas, using the following regression specification across stocks: - Rp Rf =α+By+ε where Rup - Rf is the average excess return of a security or portfolio, ẞ is the estimated beta of the security or portfolio, & is the regression residual, and a (Alpha) and y (Gamma) are regression coefficients. Based on the regression, which of the following statements are true if CAPM is true? Select all two correct statements. The Alpha is zero The Alpha is positive The Gamma is positive The Gamma is zeroarrow_forwardAttached imagearrow_forward
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